Yonggan Zhao

Papers

Total Citations

H-Index

About

Yonggan Zhao is a rising researcher at the forefront of AI-driven logistics and sustainable supply chain management. His work centers on the integration of artificial intelligence with low-altitude delivery systems—a critical area for modernizing fresh food supply chains. In his most-cited paper, "AI-based low-altitude delivery fresh food supply Chain: Research progress and trends" (2025), Zhao systematically maps the convergence of drone technology, machine learning, and perishable goods logistics, offering a forward-looking framework that has already garnered 13 citations. This contribution is notable for its practical synthesis of technical and operational challenges, providing a roadmap for reducing food waste and carbon emissions in last-mile delivery. Zhao’s research is particularly impactful for students and practitioners interested in smart agriculture, urban logistics, and the ethical deployment of autonomous systems. While early in his career, his work signals a clear trajectory toward shaping how AI can make food supply chains more resilient, efficient, and environmentally sustainable. As the field of low-altitude economy expands, Zhao’s insights are poised to influence both academic discourse and real-world policy.